Agentic AI Training in Canberra

This live training in Canberra examines how agentic AI is reshaping organisational workflows, talent strategies, and job design. Designed for intermediate professionals, it covers autonomous decision-making, enterprise readiness, and governance frameworks to support responsible and compliant AI adoption.

This instructor-led bootcamp in Canberra provides a practical pathway to constructing autonomous AI agents in Python. Participants complete five progressive projects that cover design patterns, API orchestration, and multi-agent workflows, bridging the gap between theory and real-world deployment.

This practical course in Canberra guides you through the process of deploying agentic AI on resource-constrained devices. You will learn to construct, optimise, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, thereby enhancing speed, privacy, and reliability.

This live, instructor-led training in Canberra demystifies agentic AI, exploring prompt engineering, design patterns, and ethical considerations. Learners will learn to construct simple agent workflows in Python, integrate external tools, and apply safety protocols to develop autonomous systems that are effective, secure, and scalable.

This live, instructor-led training in Canberra guides intermediate professionals through the design and scaling of agentic AI for business automation. Participants will learn to map workflows, integrate tools, and construct practical use cases in customer service, supply chain, and marketing to ensure tangible business impact.

This live training in Canberra guides advanced professionals through the design and implementation of multi-agent systems using Python. The curriculum covers agent coordination, reinforcement learning, and distributed computing with frameworks such as Mesa and Ray, culminating in a hands-on capstone project.

This instructor-led training in Canberra focuses on reinforcement learning and decision-making for agentic AI. Learners will implement DQN, PPO, and A3C using Python, model environments with OpenAI Gym, and integrate these techniques into robotics and planning systems to achieve real-world adaptive behaviour.

This live training in Canberra equips advanced professionals with the skills to scale and operationalise agentic AI systems in production. It covers MLOps, observability, and cost control, enabling the design of resilient, observable, and cost-optimised pipelines for large-scale deployments.

This live, instructor-led training in Canberra assists BI professionals in modernising legacy systems using WrenAI. You will evaluate current environments, plan migrations towards conversational analytics, and spearhead change management initiatives to secure successful adoption and tangible business impact.

This instructor-led training in Canberra delves into governance, identity management, and red-teaming for agentic AI systems. Advanced practitioners will learn to design secure deployments, implement least-privilege access, and execute adversarial testing to mitigate real-world threats in production environments.

This instructor-led, live training in Canberra focuses on practical Python implementation for autonomous AI agents. It explores modern SDKs such as LangChain and AutoGen, empowering engineers to build, connect, and orchestrate complex agent workflows with confidence.

This instructor-led training in Canberra enables finance professionals to utilise WrenAI for KPI modelling and the design of regulatory-aware dashboards. Participants will acquire practical skills in data source integration, ensuring audit compliance, and building risk management reports to facilitate effective decision-making.

This instructor-led live training in Canberra covers practical Python techniques for building autonomous agents, including agent loops, tool integrations, memory management, orchestration, and safety controls. Ideal for ML engineers, it focuses on deploying robust, production-ready agents.

This instructor-led course in Canberra equips advanced professionals with the key skills required for WrenAI quality assurance. Learners will gain the ability to evaluate NL-to-SQL precision, apply prompt tuning, and deploy observability frameworks. This training is ideal for securing enterprise-grade reliability and compliance.

Delve into agentic AI applications in healthcare through this instructor-led training in Canberra. Gain the skills to design, assess, and govern agent workflows for clinical settings. Participants will create retrieval-augmented agents, implement guardrails, and master governance frameworks through practical labs and scenario-based challenges.

This instructor-led, live training in Canberra (online or onsite) is designed for intermediate-level AI developers and automation specialists looking to integrate agentic capabilities into AI-powered applications.

Upon completion of this training, participants will be able to:

• Grasp the principles of agentic AI and autonomous decision-making.
• Develop goal-driven AI agents utilising self-optimisation techniques.
• Implement multi-agent collaboration for complex problem-solving.
• Improve AI-human interaction through adaptive user experiences.
• Deploy agentic AI models in real-world applications.

This live, instructor-led training in Canberra empowers operations professionals to master WrenAI Spreadsheets and the Metrics Library. You will learn to construct AI-driven reports, connect live data sources, and optimise workflows to accelerate operational analytics and foster efficient business reporting.

This instructor-led, live training in Canberra (online or onsite) is designed for advanced-level professionals aiming to develop and optimise multi-agent systems using Agentic AI frameworks.

Upon completion of this training, participants will be able to:

• Grasp the core principles of Agentic AI within multi-agent environments.
• Build AI-driven agents capable of autonomous interaction.
• Implement reinforcement learning techniques to achieve adaptive AI behaviour.
• Optimise both collaboration and competition among multi-agent systems.
• Apply Agentic AI solutions across robotics, gaming, and enterprise automation.

This live, instructor-led training in Canberra empowers intermediate engineers to harness the WrenAI API for practical implementation. Learners will gain the competence to derive SQL from natural language, construct and embed charts, and seamlessly integrate the API within backend architectures and internal workflows.

This instructor-led, live training in Canberra (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.

By the end of this training, participants will be able to:

• Understand the role of Agentic AI in enterprise applications.
• Integrate autonomous AI agents with enterprise systems.
• Optimize AI-driven workflows for scalability and efficiency.
• Ensure compliance, security, and governance in AI automation.
• Develop AI-driven business strategies for digital transformation.

This practical training in Canberra supports data professionals in configuring WrenAI Cloud, linking diverse data sources, and modelling data for analytics. Learners will gain the skills to refine information and construct interactive dashboards that provide actionable business insights.

This instructor-led, live training in Canberra (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios.

By the end of this training, participants will be able to:

• Understand the principles of autonomous decision-making in AI.
• Design and implement AI agents that operate with minimal human intervention.
• Integrate Agentic AI into automation workflows and business systems.
• Optimize AI-driven decision processes for efficiency and scalability.
• Ensure compliance, security, and ethical considerations in AI autonomy.

In Canberra, discover how to build robust semantic layers and optimise text-to-SQL using WrenAI OSS. This training, aimed at advanced data and ML engineers, covers prompt tuning, guardrail implementation, and seamless integration into pipelines and analytics workflows to ensure reliable performance.

This instructor-led, live training in Canberra (online or onsite) is designed for intermediate-level AI engineers, ML researchers, and developers who want to build and deploy Agentic AI systems in real-world applications.

By the end of this training, participants will be able to:

• Grasp the core principles of Agentic AI systems.
• Develop AI agents capable of autonomous reasoning and action.
• Integrate Agentic AI with APIs and third-party services.
• Optimise multi-agent interactions for complex tasks.
• Address ethical, security, and scalability challenges in Agentic AI.

This live training in Canberra supports SaaS teams in embedding WrenAI's GenBI into customer-facing products via the Embedded API. You will learn to configure white-label analytics, design secure multi-tenant deployments, and optimise performance while ensuring compliance in modern, scalable SaaS environments.

This instructor-led, live training in Canberra (online or onsite) is aimed at beginner-level professionals who wish to understand the fundamental principles of Agentic AI, its capabilities, and its potential impact on industries.

By the end of this training, participants will be able to:

• Understand the core principles of Agentic AI.
• Differentiate between traditional AI and autonomous AI agents.
• Explore real-world applications of Agentic AI in various industries.
• Assess the benefits and challenges of deploying autonomous AI systems.
• Analyse the ethical and security considerations of Agentic AI.

This instructor-led training in Canberra equips product teams with the essential skills to adopt WrenAI for conversational analytics. Participants will learn to design robust NL-to-SQL workflows, standardise metrics, and embed self-service BI dashboards directly into their daily product management processes.

This five-day course on Canberra empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to build intelligent dashboards, streamline GL operations, and design autonomous workflows for financial analysis, reporting, and strategic decision support.

This one-day course provides software engineers, technical leads and development teams with a practical framework for working effectively with AI coding agents in real-world software projects. Rather than focusing on prompting techniques alone, the course explores the complete agent ecosystem, including context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback loops, security and organisational adoption.

AI agents are transitioning from experimental research prototypes to robust production systems that operate autonomously across text, image, speech, and tool-driven workflows. This shift significantly raises the standards for engineering rigour, resilience against adversarial attacks, and regulatory accountability. This instructor-led training guides advanced practitioners through the entire agent lifecycle, covering everything from designing single and multi-agent architectures to integrating multi-modal perception and orchestrating coordinated behaviours using modern frameworks. Through progressively complex Python-based hands-on labs, participants will construct a production-grade multi-agent system, which they will then stress-test using adversarial techniques and the Adversarial Robustness Toolbox. The course concludes with a focus on alignment with NIST AI RMF, ISO/IEC 42001, the EU AI Act, and GDPR, alongside secure deployment, monitoring, and incident response protocols, ensuring participants can deliver agents that are capable, defensible, and compliant.

This instructor-led, live training in Canberra (online or onsite) is aimed at beginner-level / intermediate-level developers and cloud practitioners who wish to use Alibaba Cloud to build AI agents that can automate tasks, answer questions, and connect with business systems.

By the end of this training, participants will be able to: understand AI agent architecture on Alibaba Cloud, build a simple agent workflow, connect an agent to enterprise knowledge and tools, deploy and monitor an agent in a cloud environment.

This instructor-led, live training in Canberra is designed for intermediate-level developers seeking to design, develop, and test AI agents using the Claude API and the Agent SDK.

Upon completing this training, participants will be equipped to:

• Utilise the Messages API by incorporating system prompts, structured outputs, and streaming capabilities
• Define tools and establish a dependable tool-use cycle
• Integrate agents with external systems via MCP servers
• Construct and execute agents using the Claude Agent SDK, encompassing permission management and subagent coordination
• Minimise costs and latency through prompt caching and optimal context management
• Verify, log, and monitor agent performance using a concise evaluation dataset

Rather than handling single prompts sequentially, Claude Cowork assumes responsibility for comprehensive workflows, including research, document generation, and file management. This course guides you through crafting effective assignments, monitoring progress, and validating outcomes. Participants will delegate three practical tasks and configure a scheduled automation.

This instructor-led, live session in Canberra is designed for: knowledge workers, administrative support, and project or department leads who prefer delegating complete tasks to Claude over iterative dialogue.

Upon completion of this training, participants will be equipped to:

• Distinguish between interactive chat sessions and delegated workflows within Cowork
• Structure assignments with clear objectives, source materials, constraints, and acceptance criteria
• Generate documents, spreadsheets, and presentations directly from folder contents
• Oversee research processes from initial queries to final report delivery
• Leverage plugins, skills, and connectors within the Cowork environment
• Establish approval checkpoints, backup protocols, and secure folder access controls

Course Format

• Duration: 1 day (7 hours)
• Interactive training featuring a facilitator, collaborative discussion, and hands-on exercises tailored to participants' specific use cases
• Outcome, Day 1: Each participant will have delegated three real-world tasks to Cowork, assessed the outputs, and implemented a scheduled task.

Course Customization Options

• For bespoke training arrangements, please contact us to discuss your requirements.

Agents enable teams to handle knowledge questions and assist with document processes in a controlled manner. This two-day course covers Agent Builder on Day 1 and Copilot Studio on Day 2, focusing on approval steps and test cases. Participants will leave with a tested knowledge agent and a draft for a Studio agent.

This live, instructor-led training in Canberra is aimed at key users, AI champions, and department leads who wish to create their own Copilot agents for knowledge questions and document processes.

By the end of this training, participants will be able to:

• Decide when Copilot Chat is adequate and when an agent is more appropriate
• Build a knowledge agent in Agent Builder, specifying audience, knowledge sources, and limits
• Understand the structure of an agent in Copilot Studio and create an initial agent
• Break down document processes into reviewable steps involving human approval
• Test agents using test cases and acceptance criteria
• Classify roles, permissions, licenses, and operational aspects

Course Format

• Duration: 2 days (7 hours each)
• Interactive training with a trainer, discussions, and hands-on exercises based on participants’ own use cases
• Day 1 Outcome: Each participant will have a tested knowledge agent and a tool map for their specific work cases.
• Day 2 Outcome: Each participant will have a draft Studio agent with approval features, two tested process cases, and a roadmap for their use cases.

Course Customisation Options

• To request a customised training for this course, please contact us to make arrangements.

Deploying an assistant on company documentation allows teams to receive accurate responses regarding policies, handbooks, and workflows, complete with source attribution. This course guides participants through the process of optimising documents, selecting an appropriate platform, building a no-code agent, and evaluating performance using a structured question catalogue. Additionally, participants will develop a comprehensive maintenance plan.

This instructor-led, live training session in Canberra is designed for: teams, knowledge owners, and key users seeking to deliver insights directly from their internal documentation, policies, and manuals.

Upon completion of this training, participants will be able to:

• Comprehend the mechanics of Retrieval-Augmented Generation (RAG) in simple terms, including its capabilities and limitations
• Optimise document preparation to ensure answer accuracy
• Select the most suitable platform for deploying a knowledge agent
• Construct and disseminate a knowledge agent without the need for coding
• Validate responses using a question catalogue and verified source references
• Establish protocols for maintenance, role definition, and content currency within an operational setting

Course Format

• Duration: One day (seven hours)
• An interactive learning experience featuring live instruction, facilitated discussions, and practical exercises tailored to participants' specific use cases
• Day 1 Deliverables: Participants will possess a shared knowledge agent based on their own documents, a quantified accuracy metric, and a defined maintenance plan.

Customisation Options

• For organisations requiring a tailored training experience, please reach out to us to discuss and arrange specific needs.

Langdock unifies various AI models, intelligent assistants, corporate knowledge, and workflow automation into one comprehensive platform. This course delves into everyday chat interactions, the design and sharing of assistants, integration of knowledge sources, and the setup of workflows featuring human approval. It also covers essential governance rules for data management, role definitions, and organizational adoption.

This live, instructor-led training held in Canberra is specifically designed for teams and key users in companies that are either utilizing or beginning to introduce Langdock as their core AI solution.

By the conclusion of this training, participants will be able to:

• Confidently navigate and operate Langdock, covering chat, model management, assistants, knowledge bases, and workflows
• Select the optimal model for each specific task
• Create assistants enhanced with instructions and company knowledge, and distribute them across the team
• Connect SharePoint, OneDrive, and other data sources to form a centralized knowledge base
• Implement basic workflows that incorporate human approval mechanisms
• Establish organizational rules for data handling, user roles, and approval workflows

Course Structure and Delivery

• Length: Two days (seven hours per day), with an option for four half-day online modules
• Engaging, interactive sessions with a trainer, including discussions and practical exercises focused on participants' real-world scenarios
• Day 1 Result: Participants will have a working template, a configured knowledge folder, and a shared assistant for their specific area
• Day 2 Result: Participants will have a live workflow with approval features, a connected knowledge source, and a strategic plan for the upcoming 30 to 60 days

Customization Possibilities

• To arrange a customized version of this training, please reach out to us

This instructor-led, live training in Canberra (available online or in-person) is designed for professionals with beginner to intermediate proficiency who intend to automate a real-world process and build their first AI agent using Make in one day.

By the conclusion of this training, participants will be able to:

• Construct Make scenarios integrated with everyday business applications.
• Incorporate AI models and an initial agent into a scenario.
• Execute scenarios with effective error handling and monitoring capabilities.

This instructor-led, live training in Canberra (delivered online or on-site) targets intermediate-level business professionals seeking to build automated workflows and AI agents in n8n without coding.

Upon completion, participants will be able to:

• Construct n8n workflows integrated with everyday business applications.
• Implement AI models and agents that operate on company data.
• Maintain workflows in daily operations through error handling, approvals, and monitoring.

This live, instructor-led training in Canberra is tailored for intermediate professionals who aim to automate business processes and construct their first AI agent using Make.

By the end of this training, participants will be able to:

• Design no-code workflows in Make using triggers and webhooks.
• Connect an AI agent to their data within a flow.
• Automate a real process end-to-end, incorporating error handling and monitoring.

Imagine an AI assistant that doesn't just answer questions but actively manages your inbox, schedules appointments, and drafts briefings. This intensive one-day workshop guides you through establishing a personal AI agent equipped with a tailored context, seamless integrations, and robust protocols for approval and data security. By the conclusion of the session, you will have a fully functional agent, along with two automated routines ready for immediate use.

This live, instructor-led training in Canberra is specifically designed for professionals, executive assistants, project managers, and independent contractors seeking to deploy a personal AI agent to streamline their individual workflows.

Upon completion of this training, participants will be empowered to:

• Clarify the capabilities and limitations of a personal AI agent
• Construct a comprehensive personal context using profiles, specific instructions, and contextual notes
• Streamline email and calendar management with AI assistance while retaining full operational control
• Enhance appointment and conversation preparation through the generation of automatic briefings
• Implement automated routines, such as daily morning overviews and weekly performance reviews
• Establish clear boundaries regarding approvals, data protection, and operational limits for your agent

Course Format

• Duration: 1 day (7 hours)
• Interactive learning experience featuring guided discussion and hands-on exercises focused on participants' specific use cases
• Day 1 Outcome: Participants will leave with a configured personal agent, including a custom profile, connected mailbox and calendar, and two active automated routines.

Customisation Options

• To explore tailored training options for this course, please get in touch to arrange a discussion.

This instructor-led, live training in Canberra is tailored for Managers, assistants, and knowledge workers.

By the end of this session, participants will be able to:

• Efficiently organise email and calendar activities using AI support
• Expedite meeting preparation and research tasks
• Establish a personal assistant aligned with your unique preferences
• Ensure the protection of personal and company data